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<h1>iscalespace</h1><p><span class="helptopic">Scale-space image sequence</span></p>[<strong>g</strong>,<strong>L</strong>,<strong>s</strong>] = <span style="color:red>iscalespace</span>(<strong>im</strong>, <strong>n</strong>, <strong>sigma</strong>) is a scale space image sequence of
length <strong>n</strong> derived from <strong>im</strong> (HxW).  The standard deviation of the smoothing
Gaussian is <strong>sigma</strong>.  At each scale step the variance of the Gaussian increases
by <strong>sigma</strong>^2.  The first step in the sequence is the original image.

<span style="color:red>g</span> (<strong>HxWxN</strong>) is the scale sequence, <strong>L</strong> (<strong>HxWxN</strong>) is the absolute value of the
Laplacian of Gaussian (LoG) of the scale sequence, corresponding to each
step of the sequence, and <strong>s</strong> (Nx1) is the vector of scales.

[<strong>g</strong>,<strong>L</strong>,<strong>s</strong>] = <span style="color:red>iscalespace</span>(<strong>im</strong>, <strong>n</strong>) as above but <strong>sigma</strong>=1.

<h2>Notes</h2>
<ul>
  <li>The Laplacian is computed from the difference of adjacent Gaussians.</li>
</ul>
<h2>See also</h2>
<p>
<a href="matlab:doc iscalemax">iscalemax</a>, <a href="matlab:doc ismooth">ismooth</a>, <a href="matlab:doc ilaplace">ilaplace</a>, <a href="matlab:doc klog">klog</a></p>
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